What Technology in Agriculture Looks Like in the Future?

The farming industry is under immense pressure to produce higher yields than ever before. The technology will revolutionize the agricultural sector.

FREMONT, CA: Technology, like any other industry, has played a significant role in developing the agricultural sector. At present, it is possible to grow crops in a desert because of agricultural biotechnology. Leveraging this technology, plants have been engineered to survive in severe conditions. The genetic engineering scientists have managed to introduce traits into existing genes to make crops resistant to droughts and pests.

Robots and labor shortage

Labor availability in many developed countries is being affected by an increase in socio-economic and political issues. Having like around 64,000 fruit pickers employed in the UK alone, many of the farmers are concerned about accessing this labor source following the UK's exit from the European Union.

The intelligent tractor is all set to transform the agricultural industry. According to a report by Cisco, there's an estimated $14.4 trillion in value at stake with the IoT, while the global autonomous tractors market size is projected to reach $4,389.8 million by 2025. The days are here where the lighter-weight vehicles enter the market. To plow soil, a machine needs to be pretty powerful and move fairly quickly, so, the light-weight autonomous vehicle would work.

Technology in Dairy

Agricultural milking robots have been used in the dairy sector since the late 1990s. But demand for innovation has ramped up in recent years, particularly given the squeeze on food margins. There is a massive opportunity for manufacturers wanting to innovate and drive productivity.

Different technologies bring different benefits, the autonomous tractors offer accuracy and precision but can be slow-moving, while robotics technology gather massive amounts of data but across a limited geographical area. The future will see these technologies converging, and the farmers combining various data sources and data analytics to grow, monitor, and harvest crops at a faster rate than ever before.